CTO Realty Growth (CTO) Shares Outstanding (Entity) (2010 - 2026)
CTO Realty Growth (CTO) reported Shares Outstanding (Entity) of 37.48 million for Q2 2026, up 13.8% from 32.93 million a year earlier and up 12.6% from the prior quarter.
CTO Realty Growth (CTO) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025, CTO Realty Growth posted Shares Outstanding (Entity) of 32.37 million, up 27.6% from FY2024.
- Shares Outstanding (Entity) has increased for five consecutive years, with a five-year compound annual growth rate of 18.1% (FY2020 to FY2025).
- By year, Shares Outstanding (Entity) came in at 25.36 million in FY2024 (+12.0%), 22.64 million in FY2023 (+22.3%), 18.51 million in FY2022 (+4.3%) and 17.75 million in FY2021 (+25.7%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Entity) in data going back to Q4 2010.
- Year over year, Shares Outstanding (Entity) has now increased in each of the last 20 quarters, with growth averaging 22.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Entity) ran from 0.9% in Q1 2024 to 273.1% in Q2 2023.
- Per Business Quant data, the three quarters before Q2 2026 came in at 33.29 million (Q1 2026), 32.37 million (Q4 2025) and 32.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 720.74 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 933.01 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 326.37 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 946.20 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 175.62 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 512.95 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 211.27 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 1.10 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 374.89 Mn |
| 10 | CTO Realty Growth | 768.76 Mn | 768.76 Mn | 32.71 Mn | 37.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.48 Mn |
| Mar 31, 2026 | 33.29 Mn |
| Dec 31, 2025 | 32.37 Mn |
| Sep 30, 2025 | 32.68 Mn |
| Jun 30, 2025 | 32.93 Mn |
| Mar 31, 2025 | 31.84 Mn |
| Dec 31, 2024 | 25.36 Mn |
| Sep 30, 2024 | 29.97 Mn |
| Jun 30, 2024 | 23.12 Mn |
| Mar 31, 2024 | 22.91 Mn |
| Dec 31, 2023 | 22.64 Mn |
| Sep 30, 2023 | 22.70 Mn |
| Jun 30, 2023 | 22.69 Mn |
| Mar 31, 2023 | 22.71 Mn |
| Dec 31, 2022 | 18.51 Mn |
| Sep 30, 2022 | 18.80 Mn |
| Jun 30, 2022 | 6.08 Mn |
| Mar 31, 2022 | 18.03 Mn |
| Dec 31, 2021 | 17.75 Mn |
| Sep 30, 2021 | 17.88 Mn |
CTO Realty Growth Shares Outstanding (Entity) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding-entity&ticker=CTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "CTO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-entity&ticker=CTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();